Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2017). An experimental comparison of Chatbot and Human task partners. Computers in Human Behavior, 75, 461-468. https://doi.org/10.1016/j.chb.2017.05.045
Deshmukh, A. V., A.McComb, S., & Wernz, C. (2017). Agents as collaborating team members. EBSCO. https://www.taylorfrancis.com/books/e/9781315593166/chapters/10.1201/9781315593166-7
zollosy, M. (2017). Robots, ai, and the question of ’e-persons’. Journal of Science Communication. http://eprints.whiterose.ac.uk/124830/
Stengler, E., & Perez, J. E. (2017). Speculations and concerns on robots status in society. Journal of Science Communication. https://jcom.sissa.it/sites/default/files/documents/JCOM_1604_2017_C06.pdf
Shen, S., & Neyens, D. M. (2017). Assessing drivers’ response during automated driver support system failures with non-driving tasks. Journal of Safety Research, 61, 149-155. https://doi.org/10.1016/j.jsr.2017.02.009
Kokina, J., & Davenport, T. H. (2017). How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115-122. https://doi.org/10.2308/jeta-51730
Bean, R. (2017). How big data is empowering AI and machine learning at scale. MIT Slogan Management Review. https://sloanreview.mit.edu/article/how-big-data-is-empowering-ai-and-machine-learning-at-scale/
Wakabayashi, D. (2017). Meet the people who train the robots to do their own jobs. The New York Times. https://nyti.ms/2paCS5X
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N., Tomaszewski, J., González, F. A., & Madabhushi, A. (2017). A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
Shamma, T. (2017). When you’re not quite sure if your teacher is human. NprEd. https://www.npr.org/sections/ed/2017/05/08/524550295/when-youre-not-quite-sure-if-your-teacher-is-human